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755.
Stratified Sampling Definition
easy
What is stratified sampling in the context of train/test splitting?
A
Splitting data so that the training set contains only the majority class examples
B
Ensuring each split contains samples from every geographic region or demographic group
C
Randomly assigning samples to splits with probability proportional to their feature values
D
Maintaining the same class proportion in both splits as in the full dataset
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